“We’re so limited with what we actually can do if we follow all the rules”: a qualitative study of the impact of COVID-19 public health protocols on violence against women services
Bibliographic record
Abstract
BACKGROUND: Violence against women (VAW) is a major public health problem that grew worse during the COVID-19 pandemic. While all services were impacted by changing pandemic guidance, VAW shelters, as congregate settings with multiple funders and regulators, faced unique challenges. METHODS: We conducted a qualitative analysis of interviews with 26 women's shelter staff and eight women accessing care, as well as 10 focus groups (five each at two time points approximately a year apart) involving 24 leaders from VAW and related services in Ontario, Canada. RESULTS: We identified eight overlapping themes specific to government and public health COVID-19 regulations and their application in women's shelters. Overall, inconsistency or lack of clarity in rules, and how they were communicated, caused significant stress for women using, and staff providing, services. Staff and leaders were very concerned about rules that isolated women or replicated other aspects of abusive relationships. Women wanted to understand what options were available and what was expected of them and their children in these spaces. Leaders sought clarity and consistency from their various government funders, and from public health authorities, in the face of ever-evolving directives. As in the broader public, there was often the perception that the rules did not apply equally to everyone, for example, for women of colour using VAW services, or those whose first language was not English. CONCLUSIONS: In the absence of consistent pandemic guidance and how to implement it, many VAW services devised tailored solutions to balance safety from COVID-19 with women's physical and emotional safety from abuse and its impacts. However, this was difficult and exhausting. A key policy implication is that women's shelters are a distinct form of congregate housing; they are very different in terms of services provided, size, type and age of facilities from other congregate settings and this must be reflected in public health directives. Better communication and synchronization of policies among government funders and public health authorities, in consultation with VAW sector leaders, would mean protocols tailored to minimize harm to women and children while protecting health and safety.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".